Abstract
This paper is related to the advancement of the inventory models for ameliorating items and focused on the real-life business situation as with the time the deterioration rate of ameliorating items is increased. In the global world, every supply chain entities as suppliers/manufacturers/retailers want to increase the consumption of their goods without any losses. For this, he/she tries to lure manufacturer/retailers by offering some discounts, i.e. credit period for settling the account. The problem states that the manufacturer purchases the ameliorating items from the supplier, where the supplier offers his/her credit period to settle the account. The manufacturer purchases ameliorating items (like pigs, fishes, ducklings, etc.) and take those items as raw material; when the livestock matures the manufacturer sells it to the retailer and offer credit time for settling the account. Reason to propose the model is when the quantities of livestock become larger, then the manufacturer faces difficulty in maintaining all the livestock. In such a situation, the traditional method (without offering credit period) fails to provide the maximum profit to the manufacturer. Therefore, in order to get maximum profit, the manufacturer needs some more realistic scientific outlook for making decisions. The proposed model provides a more realistic assumption of business markets, by offering credit policy. In the introduced model, manufacturer faces amelioration and deterioration rate simultaneously due to the growth and the death of livestock. The amelioration and deterioration rates are assumed as the Weibull distribution type. Shortages allowed only for the retailer, which is partially backlogged. The main goal of this paper is to minimize the total relevant inventory cost for both the manufacturer and the retailers, by finding the optimal replenishment policy. The mathematical formulation with optimal solutions for manufacturer and retailers are given. Convexity and existence of the proposed model via numerical examples and graphical representations are explained. Finally, the conclusions with some future research direction are discussed.
Access this article
We’re sorry, something doesn't seem to be working properly.
Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.
Similar content being viewed by others
References
Hardly, G., Whitin, I.: Analysis of Inventory System. Prentice Hall, Englewood Cliffs (1963)
Schwartz, R.: An economic model of trade credit. J. Financ. Quant. Anal. 10, 643–657 (1974)
Haley, C.W., Higgins, R.C.: Inventory policy and trade-credit financing. Manag. Sci. 20, 464–471 (1973)
Goyal, S.K.: Economic order quantity under condition of permissible delay in payments. J. Oper. Res. Soc. 36, 335–338 (1985)
Aggarwal, S.P., Jaggi, C.K.: Ordering policies of deteriorating items under permissible delay in payments. J. Oper. Res. Soc. 46, 658–662 (1995)
Jamal, A.M.M., Sarker, B.R., Wang, S.: Optimal payment time for a retailer under permitted delay of payment by the wholesaler. Int. J. Prod. Econ. 66(1), 59–66 (2000)
Khanra, S., Mandal, B., Sarkar, B.: An inventory model with time dependent demand and shortages under trade credit policy. Econ. Model. 35, 349–355 (2013)
Sarkar, B.: An EOQ model with delay in payments and time varying deterioration rate. Math. Comput. Model. 55, 367–377 (2012)
Sarkar, B.: A production-inventory model with probabilistic deterioration in two-echelon supply chain management. Appl. Math. Model. 37, 3138–3151 (2013)
Sarkar, B.: An inventory model with reliability in an imperfect production process. Appl. Math. Comput. 218, 4881–4891 (2012)
Sarkar, B., Saren, S., Cárdenas-Barrón, L.E.: An inventory model with trade-credit policy and variable deterioration for fixed lifetime products. Ann. Oper. Res. 229, 677–702 (2015)
Sarkar, B., Sarkar, S.: Variable deterioration and demand–an narrow the space inventory model. Econ. Model. 31, 548–556 (2013)
Sarkar, B., Sana, S.S., Chaudhuri, K.: An inventory model with finite replenishment rateinventory model with finite replenishment rate, trade credit policy and price-discount offer. J. Ind. Eng. 2013, 1–18 (2013)
Sarkar, B.: An EOQ model with delay in payments and stock dependent demand in the presence of imperfect production. Appl. Math. Comput. 218(17), 8295–8308 (2012)
Sarkar, B., Gupta, H., Chaudhuri, K., Goyal, S.K.: An integrated inventory model with variable lead time, defective units and delay in payments. Appl. Math. Comput. 237(15), 650–658 (2014)
Sett, B.K., Sarkar, B., Goswami, A.: A two-warehouse inventory model with increasing demand and time varying deterioration. Sci. Iran. 19(6), 1969–1977 (2012)
Seifert, D., Seifert, R.W., Protopappa-Sieke, M.: A review of trade credit literature: opportunities for research in operations. Eur. J. Oper. Res. 231, 245–256 (2013)
Hwang, H.S.: A study on an inventory model for items with Weibull ameliorating. Comput. Ind. Eng. 33, 701–704 (1997)
Hwang, H.S.: Inventory models for both deteriorating and ameliorating items. Comput. Ind. Eng. 37, 257–260 (1999)
Law, S.-T., Wee, H.M.: An integrated production-inventory model for ameliorating and deteriorating items taking account of time discounting. Math. Comput. Model. 43, 673–685 (2006)
Mahata, G.C., De, S.K.: An EOQ inventory system of ameliorating items for price dependent demand rate under retailer partial trade credit policy. Opsearch 43(4), 889–916 (2016)
Mondal, B., Bhunia, A.K., Maiti, M.: An inventory system of ameliorating items for price dependent demand rate. Comput. Ind. Eng. 45, 443–456 (2003)
Moon, I., Giri, B.C., Ko, B.: Economic order quantity models for ameliorating/deteriorating items under inflation and time discounting. Eur. J. Oper. Res. 162, 773–785 (2005)
Valliathal, M., Uthayakumar, R.: The production-inventory problem for ameliorating/deteriorating items with non-linear shortage cost under inflation and time discounting. Appl. Math. Sci. 4, 289–304 (2010)
Vandana, Shrivastava, H.M.: An inventory model of ameliorating/deteriorating items with trapezoidal demand and complete backlogging under inflation and time discounting. Math. Methods Appl. Sci. 40(8), 2980–2993 (2017)
Wee, H.M., Lo, S.T., Yu, J., Chen, H.C.: An inventory model for ameliorating and deteriorating items taking account of time value of money and finite planning horizon. Int. J. Syst, Sci. 39(8), 801–807 (2008)
Wee, H.M.: Economic production lot size model for deterioarting items with partial backordering. Comput. Ind. Eng. 24, 449–458 (2003)
Chang, H.J., Dye, C.-Y.: An EOQ model for deteriorating items with time varying demand and partial backlogging. J. Oper. Res. Soc. 50, 1176–1182 (1999)
Ghare, P.M., Shrader, G.F.: A model for exponentially decaying inventories. J. Ind. Eng. 14, 238–243 (1963)
Covert, R.P., Philip, G.C.: An EOQ model for items with weibull distribution. Am. Inst. Ind. Eng. Trans. 5, 323–326 (1973)
Chen, T.H., Chang, H.M.: Optimal ordering and pricing policies for deteriorating items in one-vendor multi-retailer supply chain. Int. J. Adv. Manuf. Technol. 49, 341–355 (2010)
Chung, C.J., Wee, H.M.: Scheduling and replenishment plan for an integrated deteriorating inventory model with stock-dependent selling rate. Int. J. Adv. Manuf. Technol. 35, 665–679 (2008)
Sivashankari, C.K., Panayappan, S.: Production inventory model for two-level production with deteriorative items and shortages. Int. J. Adv. Manuf. Technol. 76, 2003–2014 (2015)
Allen, F., Chakrabarti, R., De, S., Qian, J., Qian, M.: Financing firms in India. J. Financ. Intermed. 21, 409–445 (2012)
Berger, A.N., Udell, G.F.: The economics of small business finance: the roles of private equity and debt markets in the financial growth cycle. J. Bank. Finance 22, 613–674 (1998)
Sarkar, B., Mandal, B., Sarkar, S.: Preservation of deteriorating seasonal products with stock-dependent consumption rate and shortages. J. Ind. Manag. Optim. 13(1), 187–206 (2017)
Acknowledgements
The author wishes to thank the editor and unknown referees, who have patiently gone through the article and whose suggestions have considerably improved its presentation and readability.
Author information
Authors and Affiliations
Corresponding author
Appendix
Appendix
1.1 Optimal Solution for Supplier
Case 1. When \(M_\mathrm{manu} \leqslant T_1\)
Since the equation for \(TC_1\) is highly nonlinear, it is not possible to write here the whole expression, and we just give the brief solution procedure. First, we will take the Hessian matrix given below:
Because the value of Hessian matrix \(H_m(T_1, T_2)\) is highly nonlinear, it is not possible to show that the direct existence of the equation. The Hessian matrix \(H_m(T_1, T_2) > 0\) only if \(y, \beta > 0\); \((\beta + y) > 0\); \((2 \beta + y) > 1\); \(M_\mathrm{manu} \geqslant 0, T_2 \geqslant 0\); \(\tfrac{M_\mathrm{manu}}{(T_2 - M_\mathrm{manu})} \geqslant 0\); \(M_\mathrm{manu} \ne 0 \); and \( M_\mathrm{manu}^2 \ne M_\mathrm{manu} T_2\).
Case 2. When \(T_1 \leqslant M_\mathrm{manu}\)
For sufficient condition, we partially differentiate \(TC_2(T_1, T_2)\) with respect to \(T_1\) and \(T_2\) and equate it to be zero. Thus, we have
and
Next, take the Hessian matrix with the help of above Eqs. (7.1) and (7.2) given below
Since the value of Hessian matrix is highly nonlinear, it is not possible to show the direct existence of the equation. The Hessian matrix exists, only if \(y, \beta > 0\); \((\beta + y) > 0\); \((2 \beta + y) > 1\); \({M_\mathrm{manu}} \geqslant 0, T_2 \geqslant 0\); \(\tfrac{{M_\mathrm{manu}}}{(T_2 - {M_\mathrm{manu}})} \geqslant 0\); \({M_\mathrm{manu}} \ne 0 \); and \( {M_\mathrm{manu}}^2 \ne {M_\mathrm{manu}} T_2\).
1.2 Optimal Solution for Retailer
Case 1. When \(M_\mathrm{retail} \leqslant T_3\):
First, take the first-order partial differential equation of Eq. (3.31) with respect to \(T_3\) and \(T_4\) and equate to be zero, written as
For sufficient condition, we partially differentiate (4.1) with respect to \(T_3\) and \(T_4\) and check that the below Hessian condition exists
For this, we take the second-order partial differential equation of \(TC_3(T_3, T_4)\) and can be written as:
Since the value of Hessian matrix is highly nonlinear, it is not possible to prove the direct existence of the equation. The Hessian matrix exists only if \(M_\mathrm{retail} \geqslant 0 \), \(T_3 \geqslant 0 \), \(\tfrac{M_\mathrm{retail}}{T_3 - M_\mathrm{retail}} \geqslant 0 \), \({M_\mathrm{retail}}^2 \ne M_\mathrm{retail} \ \ T_3 \), Re\((y_1) > -1\), and \(\tfrac{M_\mathrm{retail}}{(M_\mathrm{retail} - T_3)} > 1\).
Case (2) \(T_3 \leqslant M_\text {retail}\):
Similarly, take the first-order partial differential equation of Eq. (3.32) with respect to \(T_3\) and \(T_4\) and equate to be zero, written as
For sufficient condition, we partially differentiate (3.32) with respect to \(T_3\) and \(T_4\) and check that the below Hessian condition exists:
For this, we take the second-order partial differential equation of Eq. (3.32), which is given below
Similarly, the Hessian matrix \((H_{r_2}(T_3, T_4))\) is highly nonlinear, and thus it is not possible to prove the direct existence of the equation. The Hessian matrix exists only if \(M_\text {retail} \geqslant 0 \), \(T_3 \geqslant 0 \), \(\tfrac{M_\text {retail}}{T_3 - M_\text {retail}} \geqslant 0 \), \({M_\text {retail}}^2 \ne M_\text {retail} \ \ T_3 \), Re\((y_1) > - 1\), and \(\tfrac{M_\text {retail}}{(M_\text {retail} - T_3)} > 1\).
Rights and permissions
About this article
Cite this article
Vandana Rai Trade Credit Policy Between Supplier–Manufacturer–Retailer for Ameliorating/Deteriorating Items. J. Oper. Res. Soc. China 8, 79–103 (2020). https://doi.org/10.1007/s40305-018-0203-9
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40305-018-0203-9
Keywords
- Inventory
- Weibull distribution deterioration
- Weibull distribution amelioration
- Partial backlogging
- Trade credit